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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2326 result(s) for “Deep Learning in Grasping and Manipulation” Page 15 of 47
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Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held
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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
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Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling
David Williams, Matthew Gadd, Paul Newman, Daniele De Martini
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Reinforcement Learning for Reduced-Order Models of Legged Robots
Yu-Ming Chen, Hien Bui, Michael Posa
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FT-Net: Learning Failure Recovery and Fault-Tolerant Locomotion for Quadruped Robots
Zeren Luo, Erdong Xiao, Peng Lu
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Orientation-Aware Multi-Modal Learning for Road Intersection Identification and Mapping
Qibin He, Zhongyang Xiao, Ze Huang, Hongyuan Yuan, Li Sun
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Few-Shot Fruit Segmentation Via Transfer Learning
Jordan James, Heather K. Manching, Amanda M. Hulse-Kemp, William J. Beksi
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Learning Self-Confidence from Semantic Action Embeddings for Improved Trust in Human-Robot Interaction
Cedric Goubard, Yiannis Demiris
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
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Reinforcement Learning with Human Feedback for Realistic Traffic Simulation
Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
JiYuan Wang, chunyu lin, Lang Nie, shujuan Huang, Xing Pan, Rui Ai, Yao Zhao
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Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
Chenyang Cao, Zichen Yan, Renhao Lu, Junbo Tan, xueqian WANG
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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Active Automotive Augmented Reality Displays Using Reinforcement Learning
Ju-Hyeok Ryu, Chan Kim, Seong-Woo Kim
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HumanMimic: Learning Natural Locomotion and Transitions for Humanoid Robot Via Wasserstein Adversarial Imitation
Annan Tang, Takuma Hiraoka, Naoki Hiraoka, Fan Shi, Kento Kawaharazuka, Kunio Kojima, Kei Okada, Masayuki Inaba
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Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach
Viet-Anh Le, Vaishnav Tadiparthi, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari, Andreas Malikopoulos
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Learning Adaptive Policies for Autonomous Excavation under Various Soil Conditions by Adversarial Domain Sampling
Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada
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Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
Xi Lin, Yewei Huang, Fanfei Chen, Brendan Englot
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Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
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Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning
Nicholas Harrison, Nathan Daniel Wallace, Salah Sukkarieh
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Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, CHEN TANG, Wei Zhan
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Barrier Functions Inspired Reward Shaping for Reinforcement Learning
Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal, Aayush Jain, Pushpak Jagtap, Shishir Kolathaya
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Adaptive Haptic Control Interface for Safeguarding Robotic Teleoperation in Hazardous Steelmaking Environments
Jaehyun Park, IL SEOP CHOI, Sang-Woo Choi, Keehoon Kim
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Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie
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Meta-Reinforcement Learning Based Cooperative Surface Inspection of 3D Uncertain Structures Using Multi-Robot Systems
Junfeng Chen, Yuan Gao, Junjie Hu, Fuqin Deng, Tin Lun Lam
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Unsupervised Learning of Neuro-Symbolic Rules for Generalizable Context-Aware Planning in Object Arrangement Tasks
Siddhant Sharma, Shreshth Tuli, Rohan Paul
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Learning-Based Object Recognition Via a Eutectogel Electronic Skin Enabled Soft Robotic Gripper
Mo Deng, Fengya Fan, Xi Wei
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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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Contrastive Learning-Based Attribute Extraction Method for Enhanced Terrain Classification
Xiao Liu, Hongjin Chen, Haoyao Chen
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Multi-Objective Cross-Task Learning Via Goal-Conditioned GPT-Based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou
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VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling
Williard Joshua Jose, Hao Zhang
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Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning
Xiao Ma, Wu-Jun Li
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IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, ÜrÃ1⁄4n Dogan, Zheqing Zhu, Olivier Delalleau
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Your Room Is Not Private: Gradient Inversion Attack on Reinforcement Learning
Miao Li, Wenhao Ding, Ding Zhao
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Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving with Model Predictive Path Integral Control
Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee
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Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Hongcheng Wang, Yuxuan Wang, zfw1993 Fangwei Zhong, Aaron Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong
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The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
Hugues THOMAS, Jian Zhang, Timothy Barfoot
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Efficient Composite Learning Robot Control under Partial Interval Excitation
Tian Shi, Weibing Li, Haoyong Yu, Yongping Pan
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam, Xiangyu Liu, Negar Mehr, Melkior Ornik
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Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun, Yongcai Wang, Wang Chen, Haoran Deng, Deying Li
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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Towards Human-Robot Collaborative Surgery: Trajectory and Strategy Learning in Bimanual Peg Transfer
Zhaoyang Jacopo Hu, Ziwei Wang, yanpei huang, Aran Sena, Ferdinando Rodriguez y Baena, etienne burdet
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Learning Agile Bipedal Motions on a Quadrupedal Robot
Yunfei Li, Jinhan Li, Wei Fu, Yi Wu
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Learning Generalizable Patrolling Strategies through Domain Randomization of Attacker Behaviors
Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin
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Learning Diverse Skills for Local Navigation under Multi-Constraint Optimality
Jin Cheng, Marin Vlastelica, Pavel Kolev, Chenhao Li, Georg Martius
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Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-To-End
Chong Zhang, Jin Jin, Jonas Frey, Nikita Rudin, Matias Mattamala, Cesar Cadena Lerma, Marco Hutter
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